Prospects and challenges for fungal metatranscriptomes of complex communities
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States). Bioscience Division
- Michigan State Univ., East Lansing, MI (United States). Dept. of Microbiology and Molecular Genetics
- Univ. of Wisconsin, Madison, WI (United States). United States Department of Agriculture, Forest Products Lab.
- Concordia Univ., Montreal, QC (Canada). Centre for Structural and Functional Genomics
- Duke Univ., Durham, NC (United States). Biological Sciences
We report that the ability to extract and purify messenger RNA directly from plants, decomposing organic matter and soil, followed by high-throughput sequencing of the pool of expressed genes, has spawned the emerging research area of metatranscriptomics. Each metatranscriptome provides a snapshot of the composition and relative abundance of actively transcribed genes, and thus provides an assessment of the interactions between soil microorganisms and plants, and collective microbial metabolic processes in many environments. We highlight current approaches for analysis of fungal transcriptome and metatranscriptome datasets across a gradient of community complexity, and note benefits and pitfalls associated with those approaches. Finally, we discuss knowledge gaps that limit our current ability to interpret metatranscriptome datasets and suggest future research directions that will require concerted efforts within the scientific community.
- Research Organization:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- Grant/Contract Number:
- AC52-06NA25396; 2014LANLF260; LA-UR-14-28371
- OSTI ID:
- 1329856
- Alternate ID(s):
- OSTI ID: 1357068
- Report Number(s):
- LA-UR-14-28371
- Journal Information:
- Fungal Ecology, Vol. 14; ISSN 1754-5048
- Publisher:
- ElsevierCopyright Statement
- Country of Publication:
- United States
- Language:
- English
Web of Science
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